Senior Technical Delivery Manager Data and AI

🏢 Matrix Global · all Matrix Global jobs
📍 United States
📅 Posted 2026-09-05 · via Himalayas
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Description
Data & AI Senior Technical Delivery Manager

 Matrix’s Data & AI practice designs, builds, and operates modern data platforms and AI solutions for enterprise clients across financial services, CPG, retail, and construction .

We are looking for a Senior Technical Delivery Manager to lead end-to-end delivery for some of our most strategic client engagements. You will be the person clients rely on to ensure programs deliver measurable business outcomes — and the person engineering teams rely on to remove obstacles and keep delivery moving.

This is a hands-on technical leadership role . You will not be expected to write production code every day, but you should be technically strong enough to challenge architecture decisions, understand a Databricks job failure, evaluate platform trade-offs, and confidently participate in technical design discussions with senior client stakeholders, including Chief Data Officers and technology leaders.
Lead End-to-End Data & AI Delivery

- Own delivery of complex, multi-workstream Data & AI programs from kickoff through production and steady state.

- Maintain accountability for scope, schedule, budget/margin, quality, risks, and client outcomes .

- Build and manage detailed delivery plans, RAID logs, sprint cadences, dependencies, and governance processes.

- Lead program status meetings and executive steering committees, proactively identifying risks and creating mitigation plans.

- Manage scope and change control, including identifying scope creep, assessing business and financial impact, and negotiating change orders with clients.

Lead High-Performing Technical Teams

- Lead distributed onshore/offshore teams of 8–25+ engineers, architects, data professionals, and consultants across multiple workstreams.

- Establish delivery standards around engineering quality, documentation, code reviews, DevOps, environment management, and production readiness.

- Own staffing and ramp-up plans in partnership with practice leadership.

- Coach, mentor, and develop team members while providing meaningful performance feedback.

- Remove technical, delivery, and interpersonal blockers quickly and escalate issues when executive intervention is genuinely required.

Own the Client Relationship

- Serve as the primary day-to-day delivery leader for client executives, data leaders, technology stakeholders, and business sponsors .

- Translate business objectives into practical technical and delivery strategies — and communicate technical realities in clear business terms.

- Build trusted relationships with senior stakeholders and provide transparent, fact-based communication.

- Lead executive-level meetings, including QBRs, KPI reviews, steering committees, escalations, and recovery plans .

- Take ownership when programs go off track and lead structured recovery efforts to bring them back to plan.

- Make client satisfaction and measurable business outcomes a core delivery KPI.

Drive Technical Delivery Quality

- Partner with solution architects to oversee architecture and technical delivery across Snowflake, Databricks, and the modern data stack .

- Ensure solutions follow strong engineering practices across:

- Data architecture and modeling

- Data pipelines and orchestration

- Data governance and security

- Performance and workload optimization

- Cloud infrastructure

- Cost management

- Production support and reliability

- Evaluate and guide build-vs-buy decisions, platform choices, technical debt, and architectural trade-offs .

- Ensure key technical decisions are documented, communicated, and defensible.

- Oversee delivery of AI/ML and GenAI solutions , including model lifecycle management, evaluation, production readiness, and responsible AI considerations where applicable.

Support Account Growth & Pre-Sales

- Identify and help shape follow-on opportunities and expansion within existing accounts .

- Contribute to proposals, SOWs, estimates, delivery approaches, staff

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